{"id":49893590,"url":"https://github.com/louisfb01/ai-engineering-cheatsheets","last_synced_at":"2026-05-15T22:45:08.127Z","repository":{"id":344020605,"uuid":"1180116802","full_name":"louisfb01/ai-engineering-cheatsheets","owner":"louisfb01","description":"Give you decision-ready references for the most common AI engineering problems","archived":false,"fork":false,"pushed_at":"2026-03-12T18:36:35.000Z","size":22,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-03-13T00:38:29.832Z","etag":null,"topics":["agent","agentic-ai","agentic-ai-development","agents","ai","ai-agents","ai-engineer","ai-engineering","llm","llm-agent"],"latest_commit_sha":null,"homepage":"https://academy.towardsai.net/?ref=1f9b29","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/louisfb01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-12T18:05:22.000Z","updated_at":"2026-03-12T18:37:52.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/louisfb01/ai-engineering-cheatsheets","commit_stats":null,"previous_names":["louisfb01/ai-engineering-cheatsheets"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/louisfb01/ai-engineering-cheatsheets","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/louisfb01%2Fai-engineering-cheatsheets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/louisfb01%2Fai-engineering-cheatsheets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/louisfb01%2Fai-engineering-cheatsheets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/louisfb01%2Fai-engineering-cheatsheets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/louisfb01","download_url":"https://codeload.github.com/louisfb01/ai-engineering-cheatsheets/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/louisfb01%2Fai-engineering-cheatsheets/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33082297,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T20:25:35.270Z","status":"ssl_error","status_checked_at":"2026-05-15T20:25:34.732Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agent","agentic-ai","agentic-ai-development","agents","ai","ai-agents","ai-engineer","ai-engineering","llm","llm-agent"],"created_at":"2026-05-15T22:45:07.450Z","updated_at":"2026-05-15T22:45:08.119Z","avatar_url":"https://github.com/louisfb01.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI Engineering Cheatsheets\n\nBy [Louis-Francois Bouchard](https://www.linkedin.com/in/whats-ai/) ([X](https://twitter.com/Whats_AI), [YouTube](https://youtube.com/whats_ai), [other AI resources](https://links.louisbouchard.ai/))\n\nGoal: give you decision-ready references for the most common AI engineering problems. Open a cheatsheet, find your situation in the table, and follow the recommendation.\n\n## Cheatsheets\n\n| Cheatsheet | What you get |\n| :--- | :--- |\n| [AI Engineering Playbook](AI_Engineering_Playbook.md) | Pick the right AI technique, model, prompting strategy, RAG setup, memory pattern, eval method, and production config. Decision tables for each. |\n| [Agent Architecture Guide](Agent_Architecture_Guide.md) | Decide between workflow, single agent, and multi-agent. Includes the questions to ask, the signals to look for, and the engineering rules to follow. |\n| [Anti-Slop AI Writing Guide](Anti_Slop_AI_Writing_Guide.md) | Get human-sounding output from any LLM. A 7-section prompt template, a banned-word list, style rules, and a two-model write-then-review workflow. |\n\n## How to use\n\n1. Open the cheatsheet relevant to your problem.\n2. Find your situation in the decision tables.\n3. Follow the recommended approach.\n\nFor the Anti-Slop guide, copy the complete template directly into your LLM of choice, then fill in the variables and edit to best fit your needs.\n\n## Learn more\n\nThese cheatsheets come from the [Towards AI](https://academy.towardsai.net/?ref=1f9b29) courses. They cover the same frameworks in more depth, with full lessons, code, and hands-on projects.\n\n- [Full Stack AI Engineering](https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29) - Prompting to production-grade RAG system. Position yourself for the roles, projects, and opportunities that AI is creating right now.\n- [AI for Business Professionals](https://academy.towardsai.net/courses/ai-business-professionals?ref=1f9b29) - Learn to get real benefits from LLMs for valuable tasks from experts that build AI for a living.\n- [Agentic AI Engineering](https://academy.towardsai.net/courses/agent-engineering?ref=1f9b29) - Your Path to Agentic AI for Production.\n- [Free Agents Webinar](https://www.youtube.com/watch?v=iOpLKJYOvXs) - Workflows vs. agents deep-dive (YouTube).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flouisfb01%2Fai-engineering-cheatsheets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flouisfb01%2Fai-engineering-cheatsheets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flouisfb01%2Fai-engineering-cheatsheets/lists"}